Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...

Developing and manufacturing effective, safe, reliable new drugs or critical new materials for use in semiconductors or applications involving dangerous materials requires many layers of knowledge.

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials science. However, conventional methods are computationally intensive and ...

Placing materials under extremely strong magnetic fields can give rise to unusual and fascinating physical phenomena or ...

Metalworkers and metallurgists have long appreciated the ability to tailor the performance characteristics of steel (an alloy of iron and carbon), including their strength, hardness, ductility and ...

Researchers at Google DeepMind have used artificial intelligence to predict the structures of more than 2 million new materials, in a breakthrough that could have wide-reaching benefits in sectors ...

Crystals might look simple, but their growth tells a far more complex and fascinating story. From grains of salt to diamonds, crystals form when particles lock into repeating patterns. For many years, ...

Plastics don’t just pollute oceans, they leach Invisible poisons that linger for years. Now, scientists have discovered that the crystal structure of natural iron minerals could determine how fast ...

The first crystal structure of an alternative DNA shape from the insulin gene has been revealed by a UCL-led research team. DNA is widely accepted to be formed of two strands that wind around one ...

Researchers have been developing computers that deploy light (photons) rather than electricity to power storage and ...